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ORCIDCamilo Chacón Sartori
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2020 – today
- 2026
[i9]Camilo Chacón Sartori, Guillem Rodríguez Corominas:
Code World Models for Parameter Control in Evolutionary Algorithms. CoRR abs/2602.22260 (2026)- 2025
- [j3]Camilo Chacón Sartori
, Christian Blum, Filippo Bistaffa, Guillem Rodríguez Corominas:
Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach. IEEE Access 13: 2058-2079 (2025) - [j2]Camilo Chacón Sartori, Christian Blum, Filippo Bistaffa:
VisGraphVar: A benchmark generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models. IEEE Access 13: 21788-21810 (2025) - [c7]Camilo Chacón Sartori, Christian Blum:
Optimizing the Optimizer: An Example Showing the Power of LLM Code Generation. FedCSIS 2025: 47-57 - [i8]Camilo Chacón Sartori, Christian Blum:
Improving Existing Optimization Algorithms with LLMs. CoRR abs/2502.08298 (2025) - [i7]Camilo Chacón Sartori, Christian Blum:
Combinatorial Optimization for All: Using LLMs to Aid Non-Experts in Improving Optimization Algorithms. CoRR abs/2503.10968 (2025) - [i6]Camilo Chacón Sartori:
Architectures of Error: A Philosophical Inquiry into AI and Human Code Generation. CoRR abs/2505.19353 (2025) - [i5]Camilo Chacón Sartori, Martín Isla Pino, Pedro Pinacho-Davidson, Christian Blum:
LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm. CoRR abs/2509.09707 (2025) - [i4]Camilo Chacón Sartori, Christian Blum:
irace-evo: Automatic Algorithm Configuration Extended With LLM-Based Code Evolution. CoRR abs/2511.14794 (2025) - 2024
- [c6]Camilo Chacón Sartori, Christian Blum:
STNWeb for the Analysis of Optimization Algorithms: A Short Introduction. MIC (2) 2024: 367-372 - [c5]Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa:
An Extension of STNWeb Functionality: On the Use of Hierarchical Agglomerative Clustering as an Advanced Search Space Partitioning Strategy. GECCO 2024 - [c4]Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa:
Large Language Models for the Automated Analysis of Optimization Algorithms. GECCO 2024 - [i3]Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa:
Large Language Models for the Automated Analysis of Optimization Algorithms. CoRR abs/2402.08472 (2024) - [i2]Camilo Chacón Sartori, Christian Blum, Filippo Bistaffa, Guillem Rodríguez Corominas:
Metaheuristics and Large Language Models Join Forces: Towards an Integrated Optimization Approach. CoRR abs/2405.18272 (2024) - [i1]Camilo Chacón Sartori, Christian Blum, Filippo Bistaffa:
VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models. CoRR abs/2411.14832 (2024) - 2023
- [j1]Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa:
STNWeb: A new visualization tool for analyzing optimization algorithms. Softw. Impacts 17: 100558 (2023) - [c3]Jairo Enrique Ramírez Sánchez, Camilo Chacón Sartori, Christian Blum:
Q-Learning Ant Colony Optimization supported by Deep Learning for Target Set Selection. GECCO 2023: 357-366 - [c2]Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa:
Search Trajectory Networks Meet the Web: A Web Application for the Visual Comparison of Optimization Algorithms. ICSCA 2023: 89-96 - 2022
- [c1]Camilo Chacón Sartori, Christian Blum:
Boosting a Genetic Algorithm with Graph Neural Networks for Multi-Hop Influence Maximization in Social Networks. FedCSIS 2022: 363-371
Coauthor Index
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